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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
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828
3,646
5,854
2000
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Papers (including subtopics)

Open Problem: Anytime Convergence Rate of Gradient Descent COLT 2024 Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization COLT 2024 Open Problem: Can Local Regularization Learn All Multiclass Problems? COLT 2024 Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024 Open problem: Direct Sums in Learning Theory COLT 2024 Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy COLT 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Open Problem: Tight Characterization of Instance-Optimal Identity Testing COLT 2024 Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024 Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models CVPR 2024 OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators NeurIPS 2024 Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation ICML 2024 OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy NSDI 2024 OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NeurIPS 2024 OptFlow: Fast Optimization-Based Scene Flow Estimation Without Supervision WACV 2024 Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique ICML 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 Optimal Algorithms for Augmented Testing of Discrete Distributions NeurIPS 2024 Optimal Algorithms for Learning Partitions with Faulty Oracles NeurIPS 2024 Optimal Algorithms for Online Convex Optimization with Adversarial Constraints NeurIPS 2024 Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024 Optimal and Approximate Adaptive Stochastic Quantization NeurIPS 2024 Optimal Auction Design with User Coupons in Advertising Systems IJCAI 2024 Optimal Batched Best Arm Identification NeurIPS 2024